La gestión de la variabilidad: un reto pendiente para los servicios de urgencias hospitalarios

  1. Aguado Correa, Francisco
  2. Padilla Garrido, Nuria
Book:
Descubriendo nuevos horizontes en administracion: XXVII Congreso Anual AEDEM, Universidad de Huelva, 5, 6 y 7 de junio de 2013
  1. García Machado, Juan José (coord.)

Publisher: Escuela Superior de Gestión Comercial y Marketing, ESIC

ISBN: 978-84-7356-914-9

Year of publication: 2013

Congress: Asociación Europea de Dirección y Economía de Empresa. Congreso Nacional (27. 2013. Islantilla)

Type: Conference paper

Abstract

The aim of this study is to verify the existence of stable patterns of urgent demand and analyze the demand variability in the emergency department of a public hospital according to the arrival pattern, severity of patients' condition and the clinical area to adjust its resources. For this purpose, we performed a retrospective descriptive observational study of emergencies attended from 2008 to 2010 in the "Juan Ramón Jiménez" General Hospital (Huelva, Spain), with a sample of 343,233 visits. The time between consecutive arrivals of patients and the arrival patterns according to severity and clinical area were calculated using Microsoft Excel and Stat::Fit. Quarterly differences were determined using the Kruskal-Wallis test. As the results, we note that the mean value of the interarrival time, independently of the quarter (p<.05), was 2 - 4 minutes from 10:00 a.m. to 10 p.m. and 15-20 minutes from midnight to 8:00 a.m. The Priority (P) I Patients arrived every 119.05±136.71 minutes, the PII patients every 75.96±97.58 minutes, the PIII patients every 22.62±33.47 minutes and the PIV patients every 6.37±10.53 minutes. PI and PII had a consistent arrival pattern, PIV had a fluctuating pattern, and PIII had an intermediate level, with no quarterly differences (p<.05). The arrival rate peaks at 1:00 p.m. on Monday in the Medical-Surgical area, at 10:00 p.m. on Monday for the Trauma area, and at 1:00 p.m. on Sunday for the Pediatric area. In conclusion the study shows that interarrival times and average arrival rates of patients have a defined and reproducible pattern for each level of severity and clinical area, which forces us to rethink the fixed capacity model and oriented towards flexibility of resources.